Amazon·E-commerce·2 days ago
2 days ago
Applied Scientist, Modeling and Optimization, Modeling and Optimization
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What you'll do
- Enhance global logistics network efficiency through data-driven optimization
- Reduce variable costs by improving network design, inventory placement, process and operational planning, and resource allocation
- Optimize capital investment through strategic fixed asset deployment planning
- Develop metrics to quantify business impact of implemented solutions
- Lead development of production-ready algorithms and scientific tools for under-the-roof (UTR) and network process analysis and optimization
- Drive planning and execution decisions on operation timing and resource allocation to improve capacity, cost, and speed.
- Manage customer interactions, promote science-based processes, and incorporate customer needs into tool improvements.
- Partner with team members and customers to exercise judgment on appropriate analysis methods for various business requests.
- Interact with and influence adjacent systems and tools, including those for long-term operating policies and daily capacity planning.
- Blend scientific expertise with business acumen to deliver impactful solutions across the organization.
What they're looking for
- Experience programming in Java, C++, Python or related language
- PhD in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields
- Experience applying theoretical models in an applied environment
Nice to have
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of results
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Amazon's Modeling and Optimization (MOP) team seeks motivated individual with strong analytical and algorithmic skills to optimize the global logistics network and its operations.
Key job responsibilities
- Enhance global logistics network efficiency through data-driven optimization
- Reduce variable costs by improving network design, inventory placement, process and operational planning, and resource allocation
- Optimize capital investment through strategic fixed asset deployment planning
- Develop metrics to quantify business impact of implemented solutions
A day in the life
- Lead development of production-ready algorithms and scientific tools for under-the-roof (UTR) and network process analysis and optimization
- Drive planning and execution decisions on operation timing and resource allocation to improve capacity, cost, and speed.
- Manage customer interactions, promote science-based processes, and incorporate customer needs into tool improvements.
- Partner with team members and customers to exercise judgment on appropriate analysis methods for various business requests.
- Interact with and influence adjacent systems and tools, including those for long-term operating policies and daily capacity planning.
- Blend scientific expertise with business acumen to deliver impactful solutions across the organization.
- PhD in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields
- Experience applying theoretical models in an applied environment
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of results
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually
Key job responsibilities
- Enhance global logistics network efficiency through data-driven optimization
- Reduce variable costs by improving network design, inventory placement, process and operational planning, and resource allocation
- Optimize capital investment through strategic fixed asset deployment planning
- Develop metrics to quantify business impact of implemented solutions
A day in the life
- Lead development of production-ready algorithms and scientific tools for under-the-roof (UTR) and network process analysis and optimization
- Drive planning and execution decisions on operation timing and resource allocation to improve capacity, cost, and speed.
- Manage customer interactions, promote science-based processes, and incorporate customer needs into tool improvements.
- Partner with team members and customers to exercise judgment on appropriate analysis methods for various business requests.
- Interact with and influence adjacent systems and tools, including those for long-term operating policies and daily capacity planning.
- Blend scientific expertise with business acumen to deliver impactful solutions across the organization.
Basic Qualifications
- Experience programming in Java, C++, Python or related language- PhD in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields
- Experience applying theoretical models in an applied environment
Preferred Qualifications
- Experience implementing algorithms using both toolkits and self-developed code- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of results
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually
E-commerce
Company
AmazonE-commerce
Bellevue, United States of America
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